scholarly journals Optimization of ultrasound-assisted extraction of phenolic compounds and antioxidant activity from Argel (Solenostemma argel Hayne) leaves using response surface methodology (RSM)

2020 ◽  
Vol 57 (8) ◽  
pp. 3071-3080 ◽  
Author(s):  
Isam A. Mohamed Ahmed ◽  
Fahad Al-Juhaimi ◽  
Abdulraheem R. Adisa ◽  
Oladipupo Q. Adiamo ◽  
Elfadil E. Babiker ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Ultrasound Assisted Extraction ◽  
Assisted Extraction ◽  
Ultrasound Assisted

Optimization of ultrasound-assisted extraction of phenolic compounds from yarrow (Achillea beibrestinii) by response surface methodology

2012 ◽  
Vol 21 (4) ◽  
pp. 1005-1011 ◽  
Author(s):  
Davoud Salar Bashi ◽  
Seyyed Ali Mortazavi ◽  
Karamatollah Rezaei ◽  
Ahmad Rajaei ◽  
Mohamad Mahdi Karimkhani
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Ultrasound Assisted Extraction ◽  
Assisted Extraction ◽  
Ultrasound Assisted

scholarly journals Simultaneous Optimization of Ultrasound-Assisted Extraction for Flavonoids and Antioxidant Activity of Angelica keiskei Using Response Surface Methodology (RSM)

Molecules ◽  
2019 ◽  
Vol 24 (19) ◽  
pp. 3461 ◽  
Author(s):  
Lei Zhang ◽  
Yuhuan Jiang ◽  
Xuening Pang ◽  
Puyue Hua ◽  
Xiang Gao ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Biological Activities ◽  
Ultrasound Assisted Extraction ◽  
Antioxidant Power ◽  
Assisted Extraction ◽  
Ultrasonic Time ◽  
Angelica Keiskei ◽  
Ultrasound Assisted

Angelica keiskei Koidzumi (A. keiskei), as a Japanese edible herbal plant, enjoys a variety of biological activities due to the presence of numerous active compounds, especially flavonoids. This study aims for the optimization of ultrasound-assisted extraction (UAE) for flavonoids in A. keiskei and their antioxidant activity by using the response surface methodology (RSM). Single-factor experiments and a four-factor three-level Box–Behnken design (BBD) were performed to explore the effects of the following parameters on flavonoid extraction and antioxidant activity evaluation: ultrasonic temperature (X1), ultrasonic time (X2), ethanol concentration (X3) and liquid–solid ratio (X4). The optimum conditions of the combination of total flavonoid content (TFC), 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging capacity (DPPH-RSC) and ferric-reducing antioxidant power (FRAP) were as follows: X1 = 80 °C, X2 = 4 min, X3 = 78%, X4 = 35 mL/g, respectively. The experimental results provide a theoretical basis for the extensive utilization of A. keiskei and flavonoids extraction from A. keiskei as a potential source of antioxidants.

scholarly journals Modelling and Optimization of Ultrasound-Assisted Extraction of Phenolic Compounds from Black Quinoa by Response Surface Methodology

Molecules ◽  
2021 ◽  
Vol 26 (12) ◽  
pp. 3616
Author(s):  
Valentina Melini ◽  
Francesca Melini
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Total Phenolic ◽  
Solvent Ratio ◽  
Optimal Conditions ◽  
Ultrasound Assisted Extraction ◽  
Assisted Extraction ◽  
Ultrasound Assisted ◽  
Functional Components

Phenolic compounds are currently the most investigated class of functional components in quinoa. However, great variability in their content emerged, because of differences in sample intrinsic and extrinsic characteristics; processing-induced factors; as well as extraction procedures applied. This study aimed to optimize phenolic compound extraction conditions in black quinoa seeds by Response Surface Methodology. An ultrasound-assisted extraction was performed with two different mixtures; and the effect of time; temperature; and sample-to-solvent ratio on total phenolic content (TPC) was investigated. Data were fitted to a second-order polynomial model. Multiple regression analysis and analysis of variance were used to determine the fitness of the model and optimal conditions for TPC. Three-dimensional surface plots were generated from the mathematical models. TPC at optimal conditions was 280.25 ± 3.94 mg of Gallic Acid Equivalent (GAE) 100 g−1 dm upon extraction with aqueous methanol/acetone, and 236.37 ± 5.26 mg GAE 100 g−1 dm with aqueous ethanol mixture. The phenolic profile of extracts obtained at optimal conditions was also investigated by HPLC. The two extracting procedures did not show different specificities for phenolic compounds but differed in the extraction yield.

scholarly journals Optimum Conditions and LC-ESI-MS Analysis of Phenolic Rich Extract from Eucalyptus marginata L. under Maceration and Ultrasound-Assisted Extraction Methods Using Response Surface Methodology

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Soumaya Hasni ◽  
Ghayth Rigane ◽  
Hanene Ghazghazi ◽  
Hajer Riguene ◽  
Amir Bouallegue ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Total Phenolic ◽  
Ultrasound Assisted Extraction ◽  
Eucalyptus Marginata ◽  
Esi Ms ◽  
Solid Ratio ◽  
Assisted Extraction ◽  
Ultrasound Assisted

Eucalyptus marginata L. has a significant value in traditional medicine and recently has been shown to possess many pharmacological properties in vitro. The main goal of the present study was to optimize the extraction parameters of phenolic compounds from Eucalyptus marginata L. leaves using the extraction technique assisted by ultrasound in comparison with maceration using response surface methodology as a predicted tool. Therefore, total phenolic and flavonoid contents have been optimized, taking into account four variables: extraction time, temperature, liquid-to-solid ratio, and ethanol concentration. The optimum ultrasound-assisted extraction method for total phenolic and total flavonoid contents was obtained by ensuring the following parameters: t = 49.9 min, T = 74.9°C, liquid-to-solid ratio = 39.5 ml/g, and ethanol = 58.48%. The optimum extract has been subjected to LC-ESI-MS analysis. This technique allowed us to identify ten phenolic compounds: four phenolic acids mainly gallic acid (27.77 ± 0.06 µg/g DW) and protocatechuic acid (37.66 ± 0.04 µg/g DW) and six flavonoid compounds such as quercetrin (150.78 ± 0.02 µg/g DW) and hyperoside (39.19 ± 0.03 µg/g DW). These green and efficient procedures should be a promising option to guide industrial design for the production of phenolic-rich plant extracts.

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